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Burnout Among Healthcare Workers: Insights for Holistic Well-Being.

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Τίτλος: Burnout Among Healthcare Workers: Insights for Holistic Well-Being.
Συγγραφείς: Fernandes, Carina, Barros, Carla, Baylina, Pilar
Πηγή: Healthcare (2227-9032); Dec2025, Vol. 13 Issue 24, p3298, 14p
Θεματικοί όροι: Risk assessment, Holistic medicine, Cross-sectional method, Corporate culture, Pearson correlation (Statistics), Medical personnel, Psychological burnout, Professional ethics, Statistical sampling, Scientific observation, Multiple regression analysis, Psychological well-being, Descriptive statistics, Job stress, Inferential statistics, Job descriptions, Research methodology, Statistics, Social support, Interpersonal relations, Data analysis software, Employees' workload, Psychosocial factors, Cognition
Περίληψη: Background/Objectives: In the healthcare sector, burnout has become a critical concern due to high job demands and emotional strain. The main objective of the study is to examine the predictive role of psychosocial work-related risks in the development of burnout. Methods: A cross-sectional study was conducted, using a snowball recruitment method, from May to September 2025, among 154 healthcare workers. Data were collected using the psychosocial risk factors scale (INSAT_ERPS) and the Burnout Assessment Tool (BAT) and analyzed with descriptive and inferential statistics to analyze the predictive role of the psychosocial risk on burnout dimensions. Results: Psychosocial risk factors are consistently linked to the development of burnout symptoms. For exhaustion, the predictors included Working Hours (β = 0.312, p < 0.001), Social Work Relations (β = 0.196, p = 0.026), and Emotional Demands (β = 0.295, p = 0.002). For mental distance, the predictors included Work Intensity (β = −0.193, p = 0.049), Emotional Demands (β = 0.294, p = 0.004), and Work Values (β = 0.348, p = 0.003). For cognitive impairment, Work Values (β = 0.240, p = 0.042) and for emotional impairment, Employment Relations (β = 0.182, p = 0.038) emerged only one significant positive predictor. Conclusions: Findings underscore a crucial understanding: the development of burnout is not solely determined by the workload intensity, or the number of hours worked, the quality of working life and the dynamics within the workplace play pivotal roles in predicting burnout. A multidomain evaluation aligns with a holistic well-being approach to well-being by emphasizing that enhancing healthcare workers' health demands systemic interventions addressing psychosocial work environment. [ABSTRACT FROM AUTHOR]
Copyright of Healthcare (2227-9032) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: Background/Objectives: In the healthcare sector, burnout has become a critical concern due to high job demands and emotional strain. The main objective of the study is to examine the predictive role of psychosocial work-related risks in the development of burnout. Methods: A cross-sectional study was conducted, using a snowball recruitment method, from May to September 2025, among 154 healthcare workers. Data were collected using the psychosocial risk factors scale (INSAT_ERPS) and the Burnout Assessment Tool (BAT) and analyzed with descriptive and inferential statistics to analyze the predictive role of the psychosocial risk on burnout dimensions. Results: Psychosocial risk factors are consistently linked to the development of burnout symptoms. For exhaustion, the predictors included Working Hours (β = 0.312, p &lt; 0.001), Social Work Relations (β = 0.196, p = 0.026), and Emotional Demands (β = 0.295, p = 0.002). For mental distance, the predictors included Work Intensity (β = −0.193, p = 0.049), Emotional Demands (β = 0.294, p = 0.004), and Work Values (β = 0.348, p = 0.003). For cognitive impairment, Work Values (β = 0.240, p = 0.042) and for emotional impairment, Employment Relations (β = 0.182, p = 0.038) emerged only one significant positive predictor. Conclusions: Findings underscore a crucial understanding: the development of burnout is not solely determined by the workload intensity, or the number of hours worked, the quality of working life and the dynamics within the workplace play pivotal roles in predicting burnout. A multidomain evaluation aligns with a holistic well-being approach to well-being by emphasizing that enhancing healthcare workers&#39; health demands systemic interventions addressing psychosocial work environment. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Healthcare (2227-9032) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.3390/healthcare13243298
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      – Code: eng
        Text: English
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              Text: Dec2025
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